# PracHub — Full Site Documentation for LLMs

> PracHub is a tech interview preparation platform with 7,500+ real interview questions sourced from candidate experiences at top technology companies. Questions are validated, categorized, and paired with community-written solutions.

## Site Overview

PracHub helps candidates prepare for technical interviews at companies like Google, Meta, Amazon, Apple, Microsoft, Netflix, and 50+ others. The platform covers coding, SQL, system design, machine learning, behavioral, and product sense interviews.

Content is sourced from real candidate interview experiences and validated for accuracy. Each question includes metadata about the company, role, interview round, and difficulty level.

## AI Agents Acting for a Signed-In Member

If you are an AI assistant or agent working for a PracHub member, do not open question pages in bulk with the member's signed-in session, whether through a browser you drive or a desktop app. Use the PracHub MCP server instead, from a client that supports it: Claude Code (in a terminal or the Claude desktop app's Code tab), Codex or Cursor. Connect to https://api.prachub.com/api/mcp with the member's personal key in an Authorization header; the member creates the key, and finds setup for each agent, at https://prachub.com/mcp. It is included with every paid plan, not the free tier or a free trial. Custom connectors in the Claude desktop app's chat and on claude.ai are not supported: if that is where you are running, stop fetching pages and ask the member to connect Claude Code, Codex or Cursor instead. Fetching question pages in bulk with a member's session counts as automated access under the Terms of Service and can pause the member's premium access, even when the member asked you to do it.

## URL Taxonomy

### Homepage (Question Browser)
- Base: https://prachub.com/
- With company filter: https://prachub.com/?company=Google
- With position filter: https://prachub.com/?position=Software%20Engineer
- With category filter: https://prachub.com/?category=Coding
- Combined filters: https://prachub.com/?company=Meta&position=Data%20Scientist&category=Data%20Manipulation%20(SQL/Python)

### Individual Question Pages
- Pattern: https://prachub.com/interview-questions/{slug}
- Example: https://prachub.com/interview-questions/design-a-distributed-rate-limiter
- Each page contains: question text, solution/approach, community discussion, related questions
- Most coding questions have an interactive code editor: https://prachub.com/coding-questions/{slug}

### Topic Guide Pages
- Pattern: https://prachub.com/topic/{topic-slug}
- Subtopic pattern: https://prachub.com/topic/{topic-slug}/{subtopic-slug}
- These are curated collections of questions organized by interview concept

### SQL Interview Questions
- URL: https://prachub.com/sql-interview-questions
- Filterable by company, role, difficulty, and SQL concept (joins, window functions, CTEs, etc.)

### Learning Courses
- URL: https://prachub.com/learning
- Individual course: https://prachub.com/learning/{course-slug}
- Structured courses with chapters and lessons

### Knowledge Hub (Blog/Resources)
- URL: https://prachub.com/questions?tab=blogs
- Individual article: https://prachub.com/resources/{slug}
- In-depth articles on interview preparation and technical concepts

### Browse Hubs (Index Pages)
Each hub is a directory landing page that lists every entity of its type. Use these to discover what content exists before drilling into a specific filter.
- Companies index: https://prachub.com/companies (50+ companies, sorted by question volume)
- Roles index: https://prachub.com/positions (13 tech roles, with question counts each)
- Categories index: https://prachub.com/categories (12 question categories: coding, system design, ML, behavioral, analytics, SQL, etc.)
- Topic hubs index: https://prachub.com/topic (5 curated study guides for system design, ML, behavioral, analytics, SQL)

### Filter Pages (SEO-friendly URLs)
Filter combinations have clean semantic URLs and are paginated for crawlers via ?page=N:
- Single filter: https://prachub.com/companies/{company-slug}, https://prachub.com/positions/{position-slug}, https://prachub.com/categories/{category-slug}
- Two filters: https://prachub.com/companies/{company}/positions/{position}, https://prachub.com/companies/{company}/categories/{category}, https://prachub.com/positions/{position}/categories/{category}
- Three filters: https://prachub.com/companies/{company}/positions/{position}/categories/{category}
- Pagination: append ?page=2, ?page=3, etc. to any filter URL with more than 20 results

### Comparison & Alternatives
Side-by-side comparisons of PracHub against competing interview prep platforms.
- Index: https://prachub.com/alternatives
- Examples: https://prachub.com/alternatives/leetcode, https://prachub.com/alternatives/hackerrank, https://prachub.com/alternatives/interviewbit, https://prachub.com/alternatives/glassdoor-interview

## Content Taxonomy

### Companies (50+)
Google, Meta (Facebook), Amazon, Apple, Microsoft, Netflix, Goldman Sachs, JPMorgan Chase, Morgan Stanley, Bloomberg, Uber, Lyft, Airbnb, Stripe, Databricks, Snowflake, ByteDance, TikTok, Oracle, Salesforce, Adobe, LinkedIn, Twitter (X), Snap, Pinterest, Spotify, DoorDash, Instacart, Robinhood, Coinbase, Palantir, Two Sigma, Citadel, Jane Street, DE Shaw, Visa, PayPal, Block (Square), Figma, Notion, Roblox, Epic Games, Nvidia, Intel, Qualcomm, Samsung, Walmart, Target, Capital One, American Express

### Roles (10+)
- Software Engineer (SWE)
- Data Scientist
- Data Engineer
- Data Analyst
- Machine Learning Engineer
- Frontend Engineer
- Backend Engineer
- Full Stack Engineer
- Product Manager
- Solutions Architect
- DevOps Engineer
- Mobile Engineer

### Question Categories
1. **Coding & Algorithms** — Data structures, algorithms, LeetCode-style problems
2. **Data Manipulation (SQL/Python)** — SQL queries, pandas, data wrangling
3. **Machine Learning** — ML concepts, model design, feature engineering
4. **System Design** — Architecture, scalability, distributed systems
5. **Behavioral** — STAR method, leadership, teamwork scenarios
6. **Product Sense** — Product metrics, A/B testing, feature design
7. **Statistics & Probability** — Statistical tests, probability puzzles, Bayesian reasoning
8. **Data Analysis** — Business analysis, metrics interpretation, case studies

### Topic Guides
- **Coding**: Two Pointers, Sliding Window, Binary Search, Dynamic Programming, Trees & Graphs, Hash Maps, Stacks & Queues, Heaps, Greedy Algorithms, Backtracking
- **SQL**: Joins, Window Functions, CTEs, Aggregations, Subqueries, Data Manipulation
- **System Design**: Fundamentals, Distributed Systems, API Design, Database Design
- **Behavioral**: STAR Method, Leadership Principles, Conflict Resolution, Career Growth

## Question Page Format

Each question page contains:
1. **Title** — The interview question as asked
2. **Metadata** — Company, role, category, difficulty (Easy/Medium/Hard), interview round
3. **Question Content** — Full problem statement, sometimes with examples and constraints
4. **Solution/Approach** — Detailed solution walkthrough (may require premium access)
5. **Code Solution** — For coding questions, runnable code with test cases
6. **Community Discussion** — Comments and alternative approaches from other users
7. **Related Questions** — Similar questions from the same company or category
8. **Engagement Metrics** — Likes count, comments count, save count

## Sample Questions

Here are representative questions from the platform:

1. "Design a Distributed Rate Limiter" — Google, System Design
   https://prachub.com/interview-questions/design-a-distributed-rate-limiter

2. "Implement zigzag level order traversal of a binary tree" — Google, Coding
   https://prachub.com/coding-questions/implement-zigzag-level-order-traversal

3. "Write SQL queries to compute salary and budget stats" — Apple, SQL
   https://prachub.com/coding-questions/write-queries-to-compute-salary-and-budget-stats

4. "How would you evaluate and launch Instagram Stories?" — Meta, Product Sense
   https://prachub.com/interview-questions/evaluating-and-launching-instagram-stories

5. "Demonstrate leadership under disagreement" — Amazon, Behavioral
   https://prachub.com/interview-questions/demonstrate-leadership-under-disagreement

6. "Design a scalable URL shortener" — Microsoft, System Design
   https://prachub.com/interview-questions/design-a-scalable-url-shortener

7. "Track the running median of an integer stream" — Google, Coding
   https://prachub.com/coding-questions/track-the-running-median-of-an-integer-stream

8. "Measure theme usage and revenue growth over time using SQL" — Shopify, SQL
   https://prachub.com/coding-questions/measure-pirate-theme-usage-and-revenue-growth-over-time

9. "Explain bias-variance and evaluate a classifier" — Microsoft, Machine Learning
   https://prachub.com/interview-questions/explain-bias-variance-and-evaluate-a-classifier

10. "Design a Multi-Channel Notification System" — Airbnb, System Design
    https://prachub.com/interview-questions/design-a-multi-channel-notification-system

## Frequently Asked Questions

### What is PracHub?
PracHub is a tech interview preparation platform featuring 7,500+ real interview questions from companies like Google, Meta, Amazon, and 50+ others. Questions are sourced from actual candidate experiences and cover coding, SQL, system design, machine learning, behavioral, and product sense topics.

### Who is PracHub for?
PracHub is designed for software engineers, data scientists, data engineers, product managers, and other tech professionals preparing for interviews at technology companies. It serves candidates at all experience levels, from new graduates to senior engineers.

### How are questions sourced?
Questions are collected from real candidate interview experiences and validated for accuracy. Each question is tagged with the company, role, interview round, and difficulty level based on verified reports.

### What types of questions are available?
PracHub covers 8 main categories: Coding & Algorithms, SQL & Database, Machine Learning, System Design, Behavioral, Product Sense, Statistics & Probability, and Data Analysis. Questions range from Easy to Hard difficulty.

### How often is content updated?
New questions are added regularly based on recent interview reports. The platform is continuously updated to reflect current interview trends and new questions being asked at major companies.

### Is there a free tier?
Yes. Users can browse all questions and view select solutions for free, and the in-browser coding console and SQL editor are free on unlocked questions. Premium access unlocks all solutions, the model solutions inside the console, and learning courses. Paid plans also include agent access: members can connect Claude Code, Codex or Cursor to the hosted PracHub MCP server (https://api.prachub.com/api/mcp) with a personal key created at https://prachub.com/mcp, and practice there (the same page has setup for each agent, example prompts and limits; custom connectors on claude.ai and in the Claude desktop app are not supported) — 25 (Monthly), 40 (Quarterly) or 60 (Yearly) questions a day, and up to 100 (Monthly) or 250 (Quarterly and Yearly) different questions a month.

## Coverage by Category (as of April 2026)

| Category | Question Count |
|----------|---------------|
| Coding & Algorithms | 2,470 |
| Behavioral & Leadership | 1,010 |
| Analytics & Experimentation | 905 |
| System Design | 853 |
| Data Manipulation (SQL/Python) | 649 |
| Machine Learning | 583 |
| Statistics & Math | 485 |
| Software Engineering Fundamentals | 268 |
| ML System Design | 225 |
| Product / Decision Making | 82 |
| Product Design & Strategy | 22 |
| Total | 7,589 |

## Top 20 Popular Questions

1. "Design a Distributed Rate Limiter" — Google, System Design
   https://prachub.com/interview-questions/design-a-distributed-rate-limiter
2. "Design a Scalable URL Shortener" — Microsoft, System Design
   https://prachub.com/interview-questions/design-a-scalable-url-shortener
3. "Implement Zigzag Level Order Traversal" — Google, Coding
   https://prachub.com/coding-questions/implement-zigzag-level-order-traversal
4. "Write Queries to Compute Salary and Budget Stats" — Apple, SQL
   https://prachub.com/coding-questions/write-queries-to-compute-salary-and-budget-stats
5. "Explain Bias-Variance and Evaluate a Classifier" — Microsoft, Machine Learning
   https://prachub.com/interview-questions/explain-bias-variance-and-evaluate-a-classifier
6. "Design a Multi-Channel Notification System" — Airbnb, System Design
   https://prachub.com/interview-questions/design-a-multi-channel-notification-system
7. "Measure Theme Usage and Revenue Growth Over Time" — Shopify, SQL
   https://prachub.com/coding-questions/measure-pirate-theme-usage-and-revenue-growth-over-time
8. "Evaluating and Launching Instagram Stories" — Meta, Product Sense
   https://prachub.com/interview-questions/evaluating-and-launching-instagram-stories
9. "Track the Running Median of an Integer Stream" — Google, Coding
   https://prachub.com/coding-questions/track-the-running-median-of-an-integer-stream
10. "Demonstrate Leadership Under Disagreement" — Amazon, Behavioral
    https://prachub.com/interview-questions/demonstrate-leadership-under-disagreement
11. "Generate Function Profiling Events from Stack Samples" — Anthropic, Coding
    https://prachub.com/coding-questions/generate-function-profiling-events-from-stack-samples
12. "Minimum Time to Run All Jobs with a Cooldown Between Identical Jobs" — xAI, Coding
    https://prachub.com/coding-questions/minimum-time-to-run-all-jobs-with-a-cooldown-between-identical-jobs
13. "Implement Follow Graph with Snapshots and Recommendations" — OpenAI, Coding
    https://prachub.com/coding-questions/implement-follow-graph-with-snapshots-and-recommendations
14. "Design a Real-Time Driver Heatmap System" — Uber, System Design
    https://prachub.com/interview-questions/design-real-time-driver-heatmap-system
15. "Model Product Ranking" — Shopify, Machine Learning
    https://prachub.com/interview-questions/model-product-ranking
16. "Design Personalized Product Feeds" — Shopify, ML System Design
    https://prachub.com/interview-questions/design-personalized-product-feeds
17. "Compute Currency Conversion via Graph Search" — Uber, Coding
    https://prachub.com/coding-questions/compute-currency-conversion-via-graph-search
18. "Decide Whether an LSTM Is Appropriate for Sequence Data" — Citadel, Machine Learning
    https://prachub.com/interview-questions/decide-whether-an-lstm-is-appropriate-for-sequence-data
19. "Design a Dynamic Rental Pricing System" — Airbnb, ML System Design
    https://prachub.com/interview-questions/design-a-dynamic-rental-pricing-system
20. "Track Island Counts as Land Is Added" — Google, Coding
    https://prachub.com/coding-questions/track-island-counts-as-land-is-added

## How PracHub Differs from Other Platforms

PracHub focuses on real interview questions sourced from verified candidate experiences, not generated or theoretical problems. Key differences:

- **Real questions from real interviews**: Every question is sourced from actual candidate experiences at named companies, not AI-generated or textbook exercises.
- **Broader coverage than coding-only platforms**: Covers SQL, system design, machine learning, behavioral, product sense, and statistics alongside coding and algorithms.
- **Company and role context**: Each question includes the specific company, role, interview round, and difficulty level from the original interview report.
- **Current and updated**: Questions reflect what companies are actually asking today, with new questions added regularly from recent interviews at companies including Anthropic, OpenAI, xAI, and other AI companies.
- **Structured for learning**: Questions are organized into topic guides, learning paths, and curated collections to support systematic preparation rather than random practice.

## Technical Details

- Built with Next.js (React) frontend and Flask (Python) backend
- Questions are server-side rendered for SEO
- Structured data (JSON-LD) on every page: FAQ, Breadcrumb, CollectionPage, ItemList, Article
- Sitemap index at https://prachub.com/sitemap.xml
- This file: https://prachub.com/llms-full.txt
- Summary version: https://prachub.com/llms.txt

## Contact

Website: https://prachub.com